Integration of Energy Storage and Distributed Generation (DG) in Distribution Systems: Economic Analysis and Development Perspective

Total Page:16

File Type:pdf, Size:1020Kb

Integration of Energy Storage and Distributed Generation (DG) in Distribution Systems: Economic Analysis and Development Perspective Munich Personal RePEc Archive Integration of Energy Storage and Distributed Generation (DG) in Distribution Systems: Economic Analysis and Development Perspective Mohajeryami, Saeed and Jennings, Ronald and Alkhbbaz, Ghadeer Department of Systems Engineering and Engineering Management University of North Carolina at Charlotte Charlotte, NC, USA 1 May 2015 Online at https://mpra.ub.uni-muenchen.de/70659/ MPRA Paper No. 70659, posted 13 Apr 2016 06:54 UTC Integration of Energy Storage and Distributed Generation (DG) in Distribution Systems: Economic Analysis and Development Perspective Saeed Mohajeryami, Ronald Jennings, Ghadeer Alkhbbaz Department of Systems Engineering and Engineering Management University of North Carolina at Charlotte Charlotte, NC, USA Copyright © 2016 S. Mohajeryami et al. This article permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract This paper sheds light on distributed generation (DG) and energy storage and their impacts on electricity distribution networks. The purpose is to consider the various technologies of DG and energy storage and their financial and dynamic influence on the distribution network performance. In this paper, some different business cases in the U.S. related to energy storage and DG are investigated. One of these cases is related to Hawaiian Electric CO. One of the goals of Hawaiian Electric Co. for 2030 is to provide at least 65 percent of its electricity from renewable resources and working on providing sufficient energy storage. The company is considering energy storage project proposals on Oahu in order to provide their services by 2017. The paper will provide a look inside the company and how they are managing their existing projects and their future plans. Keywords: Distributed Generation (DG), energy storage system, economic analysis 1. Introduction Energy storage in past was limited to large scale pumped-hydro systems and its rationale was storing the cheap electricity of night time and use it during the peak time as a peak-shaving tool (Celli et al., 2009). But the problem with pumped-hydro was that they were capital-intensive and they needed special circumstances along with so many environmental concerns. Therefore, energy storage concept did not go further than pumped-hydro for a long time. But thanks to the new emerging technologies in power electronics, the new small-scaled energy storage systems became efficient and affordable. With emerging distributed generation technologies, another application was found for energy storage systems. Energy storage systems can take a complementary role for intermittent renewable resources and to distributed generation in general. Integration of combination of energy storage systems and distributed generation into the grid can introduce lots of business opportunities to utilities, customers and vendors. Implementing all new technologies formed by power electronics played an essential role in developing energy storage and DG over the years besides escalating their efficiency. However, Energy storage and DG are supposed to be more efficient and accurate in the upcoming years as more technologies and methodologies are being developed. It is hard to predict how sufficient these systems are going to be, but until now they came far along from the past. 2. Distributed Generation technologies Distributed Generation is electricity generations sources that are connected to distribution systems and not transmission network. Direct connection with distribution systems has this feature that it is going to be used locally (Davoudi, et al. 2015). It means that it is not going to provide a wide area. Based on this definition, even some large power stations, such as Combined Cycle Gas Turbines (CCGTs), as well as Combined Heat and Power (CHP) technologies of any scale can be considered as DGs. they can be installed by individuals, businesses, communities and schools. DG has many kinds of technologies on a wide range of scales, they are going to be explained in detail in the following. Total installed DG capacity until December 2010 was about 7.011 GW, of which more than 50% was conventional steam stations and CCGT stations, which contributed about 4.647 GW. The rest consists of hydro-electric station (natural flow) of 0.133 GW, wind of 0.484 GW and other renewable sources of 1.747 GW (Hidayat and Li, 2013). Some of the DG technologies are briefly introduced as follows. 2.1. Reciprocating engines This DG technology was developed more than a century ago, and is still widely utilized in a broad array of applications. The engines range in size from less than 5 to over 5,000 kW, and use either diesel, natural gas, or waste gas as their fuel source. Reciprocating engines are being used primarily for backup power, peaking power, and in cogeneration applications. 2.2. Micro-turbines Micro-turbines promise low emission levels, but the units are currently relatively expensive. Obtaining reasonable costs and demonstrating reliability will be major hurdles for manufacturers. 2.3. Industrial combustion turbines A mature technology, combustion turbines range from 1 MW to over 5 MW. They have low capital cost, low emission levels, but also usually low electric efficiency ratings. Development efforts are focused on increasing efficiency levels for this widely available technology. Industrial combustion turbines are being used primarily for peaking power and in cogeneration applications. 2.4. Fuel cells Although the first fuel cell was developed more than one hundred fifty years ago, this technology remains in the development stage. Fuel cell emission levels are quite low, but cost and demonstrated reliability remain major problems for the market penetration of this technology. 2.5. Photovoltaics Commonly known as solar panels, photovoltaic (PV) panels are widely available for both commercial and domestic use. Panels range from less than 5 kW and units can be combined to form a system of any size. They produce no emissions, and require minimal maintenance. 2.6. Wind turbine systems They provide a relatively inexpensive (compared to other renewables) way to produce electricity, but as they rely upon the variable and somewhat unpredictable wind, are unsuitable for continuous power needs. Development efforts look to pair wind turbines with battery storage systems that can provide power in those times when the turbine is not turning (Maine public utilities commission, 2001). The technical characteristics of DGs are shown in table 1 (Guan et al., 2009). Table 1: Technical characteristics of DGs (Guan et al., 2009). 3. Energy Storage technologies There are different type of energy that electrical energy could be including electromagnetic, electrochemical, potential, or kinetic. However, there are some challenges that should be addressed. Two of main challenges are the capacity of an energy storage and also the way the energy should be converted to store. Moreover, there are some other parameters limiting the application of different technologies such as how efficient the storage system is, what is its response time, the reliability, and availability (Moghaddam, et al. 2016). In this section, different types of energy storage systems would be described briefly. The aforementioned differences are tabulated in Table 2 for the comparison. 3.1. Conventional Pumped Hydro Storage (PHS) The most broadly employed technology in energy storage is the pumped hydro storage. This technology involves pumping water to a higher reservoir to store energy. Afterwards, whenever it is necessary, the water would be pumped down in order to generate electricity by using hydro generators. However, there are some environmental concerns regarding the use of this technology. Furthermore, this technology has a serious limitation namely the limitation of water resource suitable for this technology. 3.2. Compressed Air Energy Storage (CAES) CAES is another technology which became a conventional method in storing energy. In this technology, the electricity is generated from the compressed air reservoir. Similar to PHS, first, the electric energy would be converted to potential energy during off peak time and then whenever it is necessary, it would be used to generate electricity. This conversion from potential energy to electricity mostly happens during the time periods of high demand. In this type, compressed air would be stored in underground reservoirs with high pressure. The main disadvantage of this technology is safety problem. Safety concern which is due to difficulties in storing high-pressure air underground would limit the application of this technology. 3.3. Battery Energy Storage System Since batteries store energy in electrochemical way, they have low time response. However, they have a very high efficiency. Battery energy storage systems attracted a lot of attention after Tesla announced building its battery manufacturing mega-factory. 3.4. Advanced Capacitors Although capacitors are well known and conventionally used in distribution systems, their application as a storage system is new. Hyper-capacitors and Ultra-capacitors are two of advanced types of capacitors utilized to store energy in a more efficient manner. 3.5. Superconducting Magnetic Energy Storage (SMES) SMES employs electromagnetic energy to store electrical energy. The mechanism used in this technology is in the following way. DC current would flow through a superconducting coil creating an electromagnetic field which energy can be stored in. This technology has the capacity to store up to 3 MW because of its high efficiency and low time response. They are utilized in power system in order to improve power quality (Schoenung et al., 1996). Table 2 shows the diversity of energy capacity and power level among different types of energy storage systems (Bartun and Infield, 2004). Table 2: Features of Energy Storage systems Advanced Features PHS CAES Battery SMES Capacitors 100-300 Power Level 2 GW 30 MW 100 KW 200 kW MW Less than Less than Less than Energy 25000 7200 200 0.3 kWh 0.6 kWh Level MWh MWh MWh Response 30-40 ms 15 min 30 ms 5 ms 5 ms Time Efficiency 70%-75% 85% 70%-80% 90% 90% 4.
Recommended publications
  • Distributed Wind Competitiveness Improvement Project
    Distributed Wind Competitiveness Improvement Project The Competitiveness Improvement Project (CIP) is a periodic solicitation through the U.S. Department of Energy (DOE) and its National Renewable Energy Laboratory (NREL). Manufacturers of small and medium wind turbines are awarded cost-shared subcontracts via a competitive process to optimize their designs, develop advanced manufacturing processes, and perform turbine testing. The goals of the CIP are to make wind energy cost competitive with other distributed generation technology and increase the number of wind turbine Photo from Northern Power Systems, NREL 36193 Increased Energy Reduced Hardware Production Costs Performance & Safety CIP component innovations and CIP manufacturing process CIP awardee Primus system optimization awardee innovation awardee Pika Energy Windpower of Lakewood, Colorado, achieved Bergey Windpower of Norman, of Westbrook, Maine, reduced Oklahoma, achieved a 110% blade costs by approximately for safety, function, performance, and durability— energy production increase for the 90% by developing an innovative to international standards on two of their turbine Excel 15 turbine over the Excel 10 tooling and cooling strategy to models. Northern Power Systems also recently turbine by increasing blade length produce blades using injection- and improving blade aerodynamics molded plastic. Two additional CIP awardees are currently and system controls. Through six funding cycles, DOE and NREL have awarded 28 subcontracts to 15 companies, totaling $6.3 million of investment
    [Show full text]
  • Optimum Sizing of Distributed Generation and Storage Capacity in Smart Households Salman Kahrobaee University of Nebraska-Lincoln, [email protected]
    University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Faculty Publications from the Department of Electrical & Computer Engineering, Department of Electrical and Computer Engineering 2013 Optimum Sizing of Distributed Generation and Storage Capacity in Smart Households Salman Kahrobaee University of Nebraska-Lincoln, [email protected] Sohrab Asgarpoor University of Nebraska-Lincoln, [email protected] Wei Qiao University of Nebraska-Lincoln, [email protected] Follow this and additional works at: http://digitalcommons.unl.edu/electricalengineeringfacpub Part of the Computer Engineering Commons, and the Electrical and Computer Engineering Commons Kahrobaee, Salman; Asgarpoor, Sohrab; and Qiao, Wei, "Optimum Sizing of Distributed Generation and Storage Capacity in Smart Households" (2013). Faculty Publications from the Department of Electrical and Computer Engineering. 280. http://digitalcommons.unl.edu/electricalengineeringfacpub/280 This Article is brought to you for free and open access by the Electrical & Computer Engineering, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Faculty Publications from the Department of Electrical and Computer Engineering by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. IEEE TRANSACTIONS ON SMART GRID, VOL. 4, NO. 4, DECEMBER 2013 1791 Optimum Sizing of Distributed Generation and Storage Capacity in Smart Households Salman Kahrobaee, Student Member, IEEE, Sohrab Asgarpoor, Senior Member, IEEE,and Wei Qiao, Senior Member, IEEE Abstract—In the near future, a smart grid will accommodate DI Decision interval in h. customers who are prepared to invest in generation-battery sys- tems and employ energy management systems in order to cut down Time-step of the simulation in h. on their electricity bills.
    [Show full text]
  • Microgen & DG Report June 2020
    Small Distribution-Connected Generation Resources in Alberta Within Alberta, electric distribution systems are operated by utility companies and are the portion of the electric system that operates at 25 kilovolts or less. These distribution systems are used to deliver electricity from the Alberta interconnected electric system to an end-use customer. A Distributed Energy Resource is any resource that is connected to and can supply energy to an electric distribution system. This includes distribution-connected generation resources and energy storage. This report focuses on distribution-connected generation resources, which are typically connected to a distribution system at customer locations. Distribution-connected generation, if it qualifies, can be designated as micro-generation. For the purposes of this report, resources that are not designated as micro-generation will be referred to simply as distributed generation. This report has a section containing a brief description of each class of generation. In addition, there is data on the number of sites and total installed capacity broken out by energy source. Micro-Generation Distributed generation may qualify as micro-generation under the Micro-generation Regulation. To qualify as micro-generation, a generating unit must use renewable or alternative energy sources, be intended to offset consumer load, and have a nameplate capacity that does not exceed 5,000 kW. Electricity may be generated from solar, wind, hydro, fuel cells or biomass. Other sources may be permitted if they have current EcoLogo certification or their greenhouse gas intensity is lower then the regulated limit. Micro-generators producing electricity in excess of on-site load receive credits for what they feed to the electricity grid.
    [Show full text]
  • Distributed Generation: a Brighter Future?
    DISTRIBUTED GENERATION: A BRIGHTER FUTURE? Sponsored by DISTRIBUTED GENERATION A BRIGHTER FUTURE? CONTENTS 2 About this report 3 Executive summary 5 Part one: The shift to decentralised power production 9 Part two: Early movers 14 Part three: Looking ahead 17 Conclusion © The Economist Intelligence Unit Limited 2018 1 DISTRIBUTED GENERATION A BRIGHTER FUTURE? ABOUT THIS REPORT Distributed generation: a brighter future? is an Economist Intelligence Unit report, sponsored by E.ON. In this paper, The Economist Intelligence Unit examines the growth in distributed generation, as an increasing number of UK businesses are meeting a greater proportion of their energy needs through electricity generated themselves, on-site. This report seeks to examine the impact that distributed generation could have on UK businesses. To do so, we surveyed 450 senior executives with familiarity of their companies’ energy strategies in April-May 2018. The survey focused exclusively on executives from energy-intensive industries: manufacturing, transport and logistics, hospitality and retail. Half of the respondents are either members of their companies’ boards or hold C-level positions; the remainder are other senior managers and executives. All are from UK businesses with annual revenue exceeding £100m. The Economist Intelligence Unit supplemented the survey results with in-depth interviews with executives and industry experts. We would like to thank all survey respondents, as well as the following executives (listed alphabetically by company), for their time and insights: l Richard Carter, head of finance and sustainability, Adnams l Ilesh Patel, partner—energy and resources, Baringa l Simon Virley, partner and UK head of power and natural resources, KPMG l Caroline Hill, head of sustainability and public affairs, Landsec l Tom Byrne, sustainability manager, Landsec l Stuart Ravens, principal research analyst, Navigant Research l James Pitcher, director of sustainability, Whitbread This paper was written by Jessica Twentyman and edited by Jeremy Kingsley.
    [Show full text]
  • Grid Energy Storage
    Grid Energy Storage U.S. Department of Energy December 2013 Acknowledgements We would like to acknowledge the members of the core team dedicated to developing this report on grid energy storage: Imre Gyuk (OE), Mark Johnson (ARPA-E), John Vetrano (Office of Science), Kevin Lynn (EERE), William Parks (OE), Rachna Handa (OE), Landis Kannberg (PNNL), Sean Hearne & Karen Waldrip (SNL), Ralph Braccio (Booz Allen Hamilton). Table of Contents Acknowledgements ....................................................................................................................................... 1 Executive Summary ....................................................................................................................................... 4 1.0 Introduction .......................................................................................................................................... 7 2.0 State of Energy Storage in US and Abroad .......................................................................................... 11 3.0 Grid Scale Energy Storage Applications .............................................................................................. 20 4.0 Summary of Key Barriers ..................................................................................................................... 30 5.0Energy Storage Strategic Goals .......................................................................................................... 32 6.0 Implementation of its Goals ...............................................................................................................
    [Show full text]
  • USAID Energy Storage Decision Guide for Policymakers
    USAID ENERGY STORAGE FOR DECISION GUIDE POLICYMAKERS www.greeningthegrid.org | www.nrel.gov/usaid-partnership USAID ENERGY STORAGE FO R DECISION GUIDE P OLICYMAKERS Authors Ilya Chernyakhovskiy, Thomas Bowen, Carishma Gokhale-Welch, Owen Zinaman National Renewable Energy Laboratory July 2021 View the companion report: USAID Grid-Scale Energy Storage Technologies Primer www.greeningthegrid.org | www.nrel.gov/usaid-partnership Prepared by NOTICE This work was authored, in part, by the National Renewable Energy Laboratory (NREL), operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Funding provided by the United States Agency for International Development (USAID) under Contract No. IAG-17-2050. The views expressed in this report do not necessarily represent the views of the DOE or the U.S. Government, or any agency thereof, including USAID. This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. U.S. Department of Energy (DOE) reports produced after 1991 and a growing number of pre-1991 documents are available free via www.OSTI.gov. Front cover: photo from iStock 506609532; Back cover: photo from iStock 506611252 NREL prints on paper that contains recycled content. Acknowledgments The authors are greatly indebted to several individuals for their support and guidance. We wish to thank Sarah Lawson, Andrew Fang, and Sarah Dimson at the U.S. Agency for International Development (USAID) for their thoughtful reviews. We also wish to thank Peerapat Vithayasrichareon, Jacques Warichet, Enrique Gutierrez Tavarez, and Luis Lopez at the International Energy Agency, and Dr.
    [Show full text]
  • Hydroelectric Power Generation and Distribution Planning Under Supply Uncertainty
    Hydroelectric Power Generation and Distribution Planning Under Supply Uncertainty by Govind R. Joshi A Thesis Submitted to The Department of Engineering Colorado State University-Pueblo In partial fulfillment of requirements for the degree of Master of Science Completed on December 16th, 2016 ABSTRACT Govind Raj Joshi for the degree of Master of Science in Industrial and Systems Engineering presented on December 16th, 2016. Hydroelectric Power Generation and Distribution Planning Under Supply Uncertainty Abstract approved: ------------------------------------------- Ebisa D. Wollega, Ph.D. Hydroelectric power system is a renewable energy type that generates electrical energy from water flow. An integrated hydroelectric power system may consist of water storage dams and run-of-river (ROR) hydroelectric power projects. Storage dams store water and regulate water flow so that power from the storage projects dispatch can follow a pre-planned schedule. Power supply from ROR projects is uncertain because water flow in the river, and hence power production capacity, is largely determined by uncertain weather factors. Hydroelectric generator dispatch problem has been widely studied in the literature; however, very little work is available to address the dispatch and distribution planning of an integrated ROR and storage hydroelectric projects. This thesis combines both ROR projects and storage dam projects and formulate the problem as a stochastic program to minimize the cost of energy generation and distribution under ROR projects supply uncertainty. Input data from the Integrated Nepal Power System are used to solve the problem and run experiments. Numerical comparisons of stochastic solution (SS), expected value (EEV), and wait and see (W&S) solutions are made. These solution approaches give economic dispatch of generators and optimal distribution plan that the power system operators (PSO) can use to coordinate, control, and monitor the power generation and distribution system.
    [Show full text]
  • Electric Vehicles As Distributed Energy Resources
    ELECTRIC VEHICLES AS DISTRIBUTED ENERGY RESOURCES BY GARRETT FITZGERALD, CHRIS NELDER, AND JAMES NEWCOMB O Y M UN ARBON K T C C A I O N R I W N E A M STIT U T R R O O AUTHORS & ACKNOWLEDGMENTS AUTHORS ACKNOWLEDGMENTS Garrett Fitzgerald, Chris Nelder, and James Newcomb The authors thank the following individuals and e-Lab * Authors listed alphabetically. All authors are from member organizations for offering their insights and Rocky Mountain Institute unless otherwise noted. perspectives on this work, which does not necessarily reflect their views. ADDITIONAL CONTRIBUTORS Jim Lazar, Regulatory Assistance Project Rich Sedano, Regulatory Assistance Project Riley Allen, Regulatory Assistance Project Sarah Keay-Bright, Regulatory Assistance Project Jim Avery, San Diego Gas & Electric CONTACTS Greg Haddow, San Diego Gas & Electric Chris Nelder ([email protected]) San Diego Gas & Electric Load Analysis Group James Newcomb ([email protected]) Noel Crisostomo, California Public Utilities Commission Jonathan Walker, Rocky Mountain Institute SUGGESTED CITATION Chris Nelder, James Newcomb, and Garrett Fitzgerald, The authors also thank the following additional Electric Vehicles as Distributed Energy Resources individuals and organizations for offering their insights (Rocky Mountain Institute, 2016), and perspectives on this work: http://www.rmi.org/pdf_evs_as_DERs. Joel R. Pointon, JRP Charge Joyce McLaren, National Renewable Energy Laboratory DISCLAIMER e-Lab is a joint collaboration, convened by RMI, with participationfrom stakeholders across the electricity Editorial Director: Cindie Baker industry. e-Lab is not a consensus organization, and Editor: David Labrador the views expressed in this document are not intended Art Director: Romy Purshouse to represent those of any individual e-Lab member or Images courtesy of iStock unless otherwise noted.
    [Show full text]
  • Perspectives and Challenges of the Diffusion of Micro and Mini
    Text of the Discussion of the Electric Sector TDSE no 67 Perspectives and Challenges of the Diffusion of Micro and Mini Generation Photovoltaic Solar in Brazil Nivalde De Castro Guilherme Dantas Roberto Brandão Mauricio Moszkowicz Rubens Rosental Copyright© 2016 Nivalde De Castro, Guilherme Dantas, Roberto Brandão, Mauricio Moszkowicz and Rubens Rosental Original Title: Perspectives and Challenges of the Diffusion of Micro and Mini Generation Photovoltaic Solar in Brazil Editor André Figueiredo Electronic Publishing Luciana Lima de Albuquerque P467 Perspectivas e desafios da difusão da micro e da mini geração solar fotovoltaica no Brasil / Nivalde de Castro, Guilherme Dantas, Roberto Brandão, Mauricio Moszkowicz, Rubens Rosental. – Rio de Janeiro : Publit, 2016. 46 p. : 28 cm. (Texto de discussão do setor elétrico, n. 67) ISBN 978- 85-7773-956-1 Inclui bibliografia. 1. Energia solar. 2. Geração de energia fotovoltaica. I. Castro, Nivalde de. II. Dantas, Guilherme. III. Brandão, Roberto. IV. Moszkowicz, Mauricio. V. Rosental, Rubens. CDU 620.91 CDD 621.31244 PuBliT SoluçõES EDiToriaiS Rua Miguel Lemos, 41 salas 711 e 712 Copacabana - Rio de Janeiro - RJ - CEP: 22.071-000 Telefone: (21) 2525-3936 E-mail: [email protected] Endereço Eletrônico: www.publit.com.br Table of Contents Introduction .......................................................................................................................................5 1 – Micro and Mini Generation Perspectives ...................................................................................6
    [Show full text]
  • Encouraging the Development of Distributed Energy Resources in Texas Expanding Clean Energy Resources, Reducing Pollution and Addressing Energy Poverty
    Encouraging the Development of Distributed Energy Resources in Texas Expanding clean energy resources, reducing pollution and addressing energy poverty Authors John Hall, Environmental Defense Fund Michael Jewell, Jewell and Associates, PLLC Sarah Ryan, Environmental Defense Fund Table of Contents Executive Summary ........................................................................................................................ 4 Summary of Recommended Strategies........................................................................................... 6 Distributed Energy Resources (DERs) ........................................................................................... 8 The Broad Benefits of DERs .......................................................................................................... 10 Using DERs to Reduce Energy Poverty ......................................................................................... 12 LMI Energy Efficiency ....................................................................................................... 14 LMI Community Solar ....................................................................................................... 14 Factors Limiting DER Growth in Texas ......................................................................................... 16 Cost .................................................................................................................................... 16 Customer Awareness and Demand ...................................................................................
    [Show full text]
  • Distributed Generation: a Review on Current Energy Status, Grid-Interconnected PQ Issues, and Implementation Constraints of DG in Malaysia
    energies Review Distributed Generation: A Review on Current Energy Status, Grid-Interconnected PQ Issues, and Implementation Constraints of DG in Malaysia Jun Yin Lee 1,* , Renuga Verayiah 1, Kam Hoe Ong 1, Agileswari K. Ramasamy 1 and Marayati Binti Marsadek 2 1 Department of Electrical and Electronics Engineering, Universiti Tenaga Nasional, Kajang 43000, Malaysia; [email protected] (R.V.); [email protected] (K.H.O.); [email protected] (A.K.R.) 2 Institute of Power Engineering, Universiti Tenaga Nasional, Kajang 43000, Malaysia; [email protected] * Correspondence: [email protected] Received: 25 September 2020; Accepted: 20 November 2020; Published: 8 December 2020 Abstract: Electric supply is listed as one of the basic amenities of sustainable development in Malaysia. Under this key contributing factor, the sustainable development goal aims to ensure universal access to an affordable, clean, and reliable energy service. To support the generation capacity in years to come, distributed generation is conceptualized through stages upon its implementation in the power system network. However, the rapid establishment growth of distributed generation technology in Malaysia will invoke power quality problems in the current power system network. In order to prevent this, the current government is committed to embark on the development of renewable technologies with the assurance of maintaining the quality of power delivered to consumers. Therefore, this research paper will focus on the review of the energy prospect of both fossil fuel and renewable energy generation in Malaysia and other countries, followed by power quality issues and compensation device under a high renewable penetration distribution network. The issues and challenges of distributed generation are presented, with a comprehensive discussion and insightful recommendation on future work of the distributed generation.
    [Show full text]
  • Chapter 7 on Energy Systems Gas (GHG) Emissions
    7 Energy Systems Coordinating Lead Authors: Thomas Bruckner (Germany), Igor Alexeyevich Bashmakov (Russian Federation), Yacob Mulugetta (Ethiopia / UK) Lead Authors: Helena Chum (Brazil / USA), Angel De la Vega Navarro (Mexico), James Edmonds (USA), Andre Faaij (Netherlands), Bundit Fungtammasan (Thailand), Amit Garg (India), Edgar Hertwich (Austria / Norway), Damon Honnery (Australia), David Infield (UK), Mikiko Kainuma (Japan), Smail Khennas (Algeria / UK), Suduk Kim (Republic of Korea), Hassan Bashir Nimir (Sudan), Keywan Riahi (Austria), Neil Strachan (UK), Ryan Wiser (USA), Xiliang Zhang (China) Contributing Authors: Yumiko Asayama (Japan), Giovanni Baiocchi (UK / Italy), Francesco Cherubini (Italy / Norway), Anna Czajkowska (Poland / UK), Naim Darghouth (USA), James J. Dooley (USA), Thomas Gibon (France / Norway), Haruna Gujba (Ethiopia / Nigeria), Ben Hoen (USA), David de Jager (Netherlands), Jessica Jewell (IIASA / USA), Susanne Kadner (Germany), Son H. Kim (USA), Peter Larsen (USA), Axel Michaelowa (Germany / Switzerland), Andrew Mills (USA), Kanako Morita (Japan), Karsten Neuhoff (Germany), Ariel Macaspac Hernandez (Philippines / Germany), H-Holger Rogner (Germany), Joseph Salvatore (UK), Steffen Schlömer (Germany), Kristin Seyboth (USA), Christoph von Stechow (Germany), Jigeesha Upadhyay (India) Review Editors: Kirit Parikh (India), Jim Skea (UK) Chapter Science Assistant: Ariel Macaspac Hernandez (Philippines / Germany) 511 Energy Systems Chapter 7 This chapter should be cited as: Bruckner T., I. A. Bashmakov, Y. Mulugetta, H. Chum, A. de la Vega Navarro, J. Edmonds, A. Faaij, B. Fungtammasan, A. Garg, E. Hertwich, D. Honnery, D. Infield, M. Kainuma, S. Khennas, S. Kim, H. B. Nimir, K. Riahi, N. Strachan, R. Wiser, and X. Zhang, 2014: Energy Systems. In: Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Edenhofer, O., R.
    [Show full text]